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Books on the topic 'Adaptive software development'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Adaptive software development: A collaborative approach to managing complex systems. New York: Dorset House Pub., 2000.

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2

Ortiz, Guadalupe, and Javier Cubo. Adaptive web services for modular and reusable software development: Tactics and solutions. Hershey, PA: Information Science Reference, 2012.

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3

Calinescu, Radu, and Ethan Jackson, eds. Foundations of Computer Software. Modeling, Development, and Verification of Adaptive Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21292-5.

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4

Rapid J2EE development: An adaptive foundation for enterprise applications. Upper Saddle River, N.J: Prentice Hall PTR, 2005.

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5

Koskela, Juha. Software configuration management in agile methods. Espoo [Finland]: VTT Technical Research Centre of Finland, 2003.

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6

Lankhorst, Marc. Agile Service Development: Combining Adaptive Methods and Flexible Solutions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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7

Software build systems: Principles and experience. Upper Saddle River, NJ: Addison Wesley, 2011.

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8

Calinescu, Radu. Foundations of Computer Software. Modeling, Development, and Verification of Adaptive Systems: 16th Monterey Workshop 2010, Redmond, WA, USA, March 31- April 2, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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9

Katsuyama, Kōtarō. Jōhō shisutemu ni taisuru yōkyū shiyō no henka ni taiōsuru sofutowea gijutsu: Software technologies for adapting requirement changes of information systems. Tōkyō: Kenkyū Kaihatsu Senryaku Sentā, 2010.

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10

Sugumaran, Vijayan. Intelligent, adaptive and reasoning technologies: New developments and applications. Hershey, PA: Information Science Reference, 2011.

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11

Bhardwa, Ramnik Ramji. Design and development of a simulation software package for an adaptively controlled grinding process. [s.l.]: typescript, 1989.

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12

Beedle, Michael A. Enterprise Scrum: An Adaptive Method for Project Success. Pearson Education, Limited, 2020.

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13

III, James A. Highsmith. Adaptive Software Development: A Collaborative Approach to Managing Complex Systems. Dorset House Publishing Company, Incorporated, 1999.

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14

Adaptive Dynamic And Resilient Systems. Auerbach Publications, 2012.

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15

Agile Service Development Enterprise Engineering. Springer, 2012.

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16

Cobb, Charles G. Project Manager's Guide to Mastering Agile: Principles and Practices for an Adaptive Approach. Wiley & Sons, Incorporated, John, 2015.

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17

Cobb, Charles G. Project Manager's Guide to Mastering Agile: Principles and Practices for an Adaptive Approach. Wiley & Sons, Incorporated, John, 2015.

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18

Hall, Gary McLean. Adaptive Code: Agile coding with design patterns and SOLID principles. Microsoft Press, 2017.

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19

The Project Manager's Guide to Mastering Agile: Principles and Practices for an Adaptive Approach. Wiley, 2015.

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20

Lankhorst, Marc. Agile Service Development: Combining Adaptive Methods and Flexible Solutions. Springer, 2014.

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21

Lankhorst, Marc. Agile Service Development: Combining Adaptive Methods and Flexible Solutions. Springer, 2012.

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22

Adaptive Code Via C Class And Interface Design Design Patterns And Solid Principles. Microsoft Press,U.S., 2014.

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23

Schmidt, Alfred, and Kunibert G. Siebert. Design of Adaptive Finite Element Software: The Finite Element Toolbox ALBERTA (Lecture Notes in Computational Science and Engineering). Springer, 2005.

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24

Foundations of Computer Software: Modeling, Development, and Verification of Adaptive Systems 16th Monterey Workshop 2010, Redmond, USA, WA, USA, March 31--April 2, Revised Selected Papers. Springer, 2011.

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25

Redbooks, IBM. Websphere Business Integration Adapters: An Adapter Development And Websphere Business Integration Solution (IBM Redbooks). IBM.Com/Redbooks, 2005.

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26

Adapting Configuration Management for Agile Teams. John Wiley & Sons, 2009.

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27

Moreira, Mario E. Adapting Configuration Management for Agile Teams: Balancing Sustainability and Speed. Wiley & Sons, Incorporated, John, 2010.

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28

Moreira, Mario E. Adapting Configuration Management for Agile Teams: Balancing Sustainability and Speed. Wiley & Sons, Incorporated, John, 2010.

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29

Moreira, Mario E. Adapting Configuration Management for Agile Teams: Balancing Sustainability and Speed. Wiley & Sons, Incorporated, John, 2010.

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30

Butterworth, Brian, Sashank Varma, and Diana Laurillard. Dyscalculia. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.001.

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Recent research in cognitive and developmental neuroscience is providing a new approach to the understanding of dyscalculia that emphasizes a core deficit in understanding sets and their numerosities, which is fundamental to all aspects of elementary school mathematics. The neural bases of numerosity processing have been investigated in structural and functional neuroimaging studies of adults and children, and neural markers of its impairment in dyscalculia have been identified. New interventions to strengthen numerosity processing, including adaptive software, promise effective evidence-based education for dyscalculic learners.
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31

Collan, Mikael. Technical, Economic and Societal Effects of Manufacturing 4.0: Automation, Adaption and Manufacturing in Finland and Beyond. Springer Nature, 2020.

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32

Metta, Giorgio. Humans and humanoids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0047.

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This chapter outlines a number of research lines that, starting from the observation of nature, attempt to mimic human behavior in humanoid robots. Humanoid robotics is one of the most exciting proving grounds for the development of biologically inspired hardware and software—machines that try to recreate billions of years of evolution with some of the abilities and characteristics of living beings. Humanoids could be especially useful for their ability to “live” in human-populated environments, occupying the same physical space as people and using tools that have been designed for people. Natural human–robot interaction is also an important facet of humanoid research. Finally, learning and adapting from experience, the hallmark of human intelligence, may require some approximation to the human body in order to attain similar capacities to humans. This chapter focuses particularly on compliant actuation, soft robotics, biomimetic robot vision, robot touch, and brain-inspired motor control in the context of the iCub humanoid robot.
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